(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 8.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       157,          7]
NotebookDataLength[    110520,       1975]
NotebookOptionsPosition[    109435,       1934]
NotebookOutlinePosition[    109770,       1949]
CellTagsIndexPosition[    109727,       1946]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
 RowBox[{"Clear", "[", 
  RowBox[{"x", ",", "y"}], "]"}]], "Input",
 CellChangeTimes->{{3.531070492092962*^9, 3.53107049671207*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"RegionPlot", "[", 
   RowBox[{
    RowBox[{
     RowBox[{"2", "+", "x"}], "\[LessEqual]", "y"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "1", ",", "4"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", 
      RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", "Automatic"}]}], "]"}], ";"}]], "Input",
 CellChangeTimes->{{3.531060692311699*^9, 3.531060751169147*^9}, {
   3.531060989933566*^9, 3.53106102573039*^9}, {3.531061107798761*^9, 
   3.531061121343404*^9}, {3.531061159266544*^9, 3.531061161272315*^9}, 
   3.531070536246734*^9}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"RegionPlot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"2", "+", 
     RowBox[{"Floor", "[", "x", "]"}]}], "\[GreaterEqual]", 
    RowBox[{"Floor", "[", 
     RowBox[{
      RowBox[{"Floor", "[", "y", "]"}], "/", "2"}], "]"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "1"}], ",", "4"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"y", ",", 
     RowBox[{"-", "10"}], ",", "6"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", "Automatic"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.531070558790437*^9, 3.53107056755509*^9}, {
  3.531070641212615*^9, 3.53107068403744*^9}, {3.531070751760294*^9, 
  3.531070759402891*^9}, {3.531071137474965*^9, 3.531071137652254*^9}, {
  3.531072012157571*^9, 3.531072024384869*^9}}],

Cell[BoxData[
 GraphicsBox[GraphicsComplexBox[CompressedData["
1:eJxl1H1o1HUAx/HTfM6bm1NnE0FNcJqLgqZYxA4PfKCCU6HUdJmiYXOYYurW
ioE40h6UVDIr13JSmmnRylzTSZC6ES1nbvmQlLoUy4cdmGjlpeDrK9hf48X3
9rv7vH8/fgNnzp84u30kEvm2XSRy8+/OozsXplIX69oK9pxKpe7dO6msak7e
2jPBJx4b9GVz4kTw8PuvjFqebAhefX7ykdeSW/O5pGnCmta8n4Ir47WHa8tP
Bnfc2PhbefJc8EOlbYtzdrQFzxn6d2m09XLw+uYOy5LZ14IblqWtaElcD36l
7+tjC+LtYpx1cXVDouCu4M++W/dEvLhj8Pj3NvyYt7Zz8MmFFZNydnQNfml8
VXN2w93BvQZsmRJtjQZv/+vT46lUj2D94l+cL2lJDAr9WD/Wj/Vj/Vg/1o/1
Y/1YP9aP9WP9WD/Wj/Vj/Vg/1o/1W9e5f88dlQNCP9aP9WP9WD/Wj/Vj/Vg/
1o/1Y/1YP9aP9WP9WD/Wj/Vj/Rp3rp8Ybe0f+rF+rB/rx/qxfqwf68f6sX6s
H+vH+rF+rB/rx/qxfqwf67doxpWy2vLs0I/1Y/1YP9aP9WP9WD/Wj/Vj/Vg/
1o/1Y/1YP9aP9WP9WL97uj65ozAnK/Rj/Vg/1o/1Y/1YP9aP9WP9WD/Wj/Vj
/Vg/1o/1Y/1YP9Zvz+fVv2Q3ZIZ+rB/rx/qxfqwf68f6sX6sH+vH+rF+rB/r
x/qxfqwf68f6zZqa2b2hMD30Y/1YP9aP9WP9WD/Wj/Vj/Vg/1o/1Y/1YP9aP
9WP9WD/WL73T6UXJ7G6hH+vH+rF+rB/rx/qxfqwf68f6sX6sH+vH+rF+rB/r
x/qxflOfqjx443tDP9aP9WP9WD/Wj/Vj/Vg/1o/1Y/1YP9aP9WP9WD/Wj/Vj
/cZO2D2tIH61Tj/Wj/Vj/Vg/1o/1Y/1YP9aP9WP9WD/Wj/Vj/Vg/1o/1Y/2q
z8wfPuJGN/1YP9aP9WP9WD/Wj/Vj/Vg/1o/1Y/1YP9aP9WP9WD/Wj/V74J2b
P7QmXz/Wj/Vj/Vg/1o/1Y/1YP9aP9WP9WD/Wj/Vj/Vg/1o/1Y/0ib24+35y4
EPqxfqwf68f6sX6sH+vH+rF+rB/rx/qxfqwf68f6sX6sH+tXNHjy7u2V/4R+
rB/rx/qxfqwf68f6sX6sH+vH+rF+rB/rx/qxfqwf68f6nd97oV1xtGNMP9aP
9WP9WD/Wj/Vj/Vg/1o/1Y/1YP9aP9WP9WD/Wj/Vj/armP7j55v/px/qxfqwf
68f6sX6sH+vH+rF+rB/rx/qxfqwf68f6sX537s/t8fDggnhG2M/2s/1sP9vP
9rP9bD/bz/az/Ww/28/2s/1s/6tzjl3eXtkr7Gf72X62n+1n+9l+tp/tZ/vZ
fraf7Wf72X62/9Tu0v2pVFbYz/az/Ww/28/2s/1sP9vP9rP9bD/bz/az/bw8
d/u87IY/6lL7mhYX5vSIDTy0YUai4FSw9wuXtKVt6d56OPhA8oP4ybzqYO8f
9v5h75/gS6VpI9fuzz9a0+2N8mTPcD/Y+Yie2wpaEn3COTt3Ped3Xj887/cd
6nA0sSe/w+wPJyezb18/PA+3zp+pjQ+LF/cO+8b1XX2ovrBLsPdH5NLBpxck
V9ZN7Nc+LV4cDdfzeQ7vm1vX93l9yz7eWpMXSY/FFjx6rOnKsPB72e9j9+/S
0tzyl2O98t/9alos5+304MvR6xnFlzODJ8yuOFU/KStWdLWse0vLn3WL+w0+
kH3j+7pWFEWi804Hj1tRfXZ55Ofg9hNHjt6/qTbY/WX3l91f1su+Vdc/qXnr
m33h3PPn3PPHnrc7+3g+7CvKPPtC7cbMcO75cL7/+RWjo//2iTWmtTaNTl4I
319YfXDf0vLfg9OrS1+cnnc82P/XPZfVZe3FjODxM3O3JMbc/v5+dV8fOf1E
7+BNu34oqazqHXv/2WPfT689F673yONLOiUrzwaP6nxg75rEyeCWtlnXhoz4
NXjblLlz19QfCq6fPnrXkqGNwf2G9F55bdVH//u9GbVjKgpj6bH/AEuB6sw=

   "], {{
     {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], 
      EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNmHnclmMWgJ/bln1LJaE+oaTSoqRNe0qLtNGXSps2LdpUWiRJSSmtn5As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         "]], 
        PolygonBox[{{446, 445, 390, 395}, {419, 435, 400, 373}, {442, 441, 
         357, 400}, {444, 443, 389, 394}, {420, 436, 391, 389}, {422, 438, 
         395, 392}, {448, 447, 392, 396}, {450, 449, 393, 402}, {417, 450, 
         402, 341}, {440, 439, 341, 398}, {423, 428, 396, 393}, {421, 437, 
         394, 390}, {418, 433, 398, 357}}]}]}, {}, {}, {}, {}}, 
    {GrayLevel[0], Opacity[0.4], LineBox[CompressedData["
1:eJwt0UkugwEABeCf1jzVlLC0I+EGJNwAcYKmtrUxtOYpseEIdEDNc2ueV9yB
O3ADXxOLL3mbt3mvIzo2HC8JgiBOKcXcShd9DDFKkg0yFPjkm1/KlNrpYYA1
NsmzwwkPPLJPgV1OeeKZA67JccYLrxxyzB5HvPFOhi1uuOWcC7KkuOOeS67Y
Js0Ek0yRIMk0M8wyxzwLLLLEMiusMk6MEfrppo0wP7b44oM8adZJEGOQXjpp
oZkmGonQQD111FJDNVVUUkF5cW/ChP4/+wPgQjP8
      "]]}}],
  AspectRatio->1,
  Axes->True,
  AxesLabel->{
    FormBox["x", TraditionalForm], 
    FormBox["y", TraditionalForm]},
  Frame->True,
  Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True},
  PlotRange->{{-1, 4}, {-10, 6}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{{3.5310705510207*^9, 3.531070569447941*^9}, {
   3.531070656634925*^9, 3.53107068478793*^9}, {3.531070753743766*^9, 
   3.531070760033248*^9}, 3.531071138527708*^9, {3.531072019335872*^9, 
   3.531072025181002*^9}},
 ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Interval", "[", 
   RowBox[{"{", 
    RowBox[{"1", ",", "6"}], "}"}], "]"}], "-", 
  RowBox[{"Interval", "[", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1"}], ",", "1"}], "}"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.531071793928489*^9, 3.531071802650994*^9}}],

Cell[BoxData[
 RowBox[{"Interval", "[", 
  RowBox[{"{", 
   RowBox[{"0", ",", "7"}], "}"}], "]"}]], "Output",
 CellChangeTimes->{3.531071803384796*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"x", "=", 
   RowBox[{"Interval", "[", 
    RowBox[{"{", 
     RowBox[{"1", ",", "4"}], "}"}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"y", "=", 
   RowBox[{"Interval", "[", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "10"}], ",", "10"}], "}"}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"2", "+", "x"}], "\[LessEqual]", "y"}]}], "Input",
 CellChangeTimes->{{3.531068652792491*^9, 3.531068682025983*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"Interval", "[", 
   RowBox[{"{", 
    RowBox[{"3", ",", "6"}], "}"}], "]"}], "\[LessEqual]", 
  RowBox[{"Interval", "[", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "10"}], ",", "10"}], "}"}], "]"}]}]], "Output",
 CellChangeTimes->{3.531068683910825*^9, 3.531070512271327*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"(", 
    RowBox[{"2", "+", "x"}], ")"}], "+", 
   RowBox[{"x", "*", "z"}], "-", 
   RowBox[{"z", "^", "3"}]}], "/.", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"x", "\[Rule]", "3"}], ",", 
    RowBox[{"z", "\[Rule]", 
     RowBox[{"Interval", "[", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "1"}], ",", "1"}], "}"}], "]"}]}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.531159866738936*^9, 3.531159902333934*^9}}],

Cell[BoxData[
 RowBox[{"Interval", "[", 
  RowBox[{"{", 
   RowBox[{"1", ",", "9"}], "}"}], "]"}]], "Output",
 CellChangeTimes->{{3.531159873036053*^9, 3.531159903599637*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"RegionPlot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"(", 
       RowBox[{"3", "+", "x"}], ")"}], "+", 
      RowBox[{"x", "*", "z"}], "-", 
      RowBox[{"z", "*", "z", "*", "2"}]}], "\[GreaterEqual]", "5"}], "&&", 
    RowBox[{
     RowBox[{
      RowBox[{"(", 
       RowBox[{"3", "+", "x"}], ")"}], "+", 
      RowBox[{"x", "*", "z"}], "-", 
      RowBox[{"z", "*", "z", "*", "2"}]}], "\[LessEqual]", "7"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "5"}], ",", "10"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"z", ",", 
     RowBox[{"-", "4"}], ",", "4"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", "Automatic"}], ",", 
   RowBox[{"PlotPoints", "\[Rule]", "100"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.531158206775484*^9, 3.531158224028865*^9}, 
   3.531158333318258*^9, {3.531159259259097*^9, 3.531159293114058*^9}, {
   3.531159357496538*^9, 3.531159390499788*^9}, {3.531219243105614*^9, 
   3.531219256804091*^9}, {3.531226392539015*^9, 3.531226399932388*^9}, {
   3.531227064909324*^9, 3.531227200325795*^9}, {3.531228333710941*^9, 
   3.531228363298055*^9}, {3.531230509851577*^9, 3.53123051006301*^9}, {
   3.531230800614985*^9, 3.531230800748345*^9}, {3.531232242060237*^9, 
   3.531232243848793*^9}, {3.531308150644721*^9, 3.531308153591777*^9}, {
   3.531431874917881*^9, 3.53143191261887*^9}}],

Cell[BoxData[
 GraphicsBox[GraphicsComplexBox[CompressedData["
1:eJxknXdcj+v/x9t776VJRkd2Mk7324hCdDoyIiMdM8qRjJOMyMiI7IxOdgeR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   "], {{
     {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], 
      EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNnQXYVcUTxu89fa6iIiYWoKKIit0Biond3V0YmBggdoEFKiZ2tyKK9Rcb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         "]], PolygonBox[CompressedData["
1:eJwtmgn4VVMXxu+9596zz7mUUIaiwaxIUumLyKxJlGSIIqXSJA1KyFCEjKEM
jYg0oVEpSgmVSJSiucyUJk2+3/u93/O0+q93r7WHe87Ze0270m1dm3bJZTKZ
CfyX52/lkMlUgdZmM5mB4KvgOxczmVsQ7qWtKfwfcSZzZJTJ1KTtF/jl6LxH
/8NouxZ5lySTKQNfC3mtFD2oOmMNpq0c/J30mcdYzejzNX3bo18y8hjvwI+D
WoCvh5oi/w9jVmasM6BH6X86+Dj4jugvLmQyt4Hrg59njpOQj6dtAePfR/9F
8I/TNhN+APKjmfsuxj8W/CH9fwOvZo4p8IfTNh/9WxivHuPdjf4A+i6kbT3j
TUV+CfpfgDtpbmgbY/0JvY+8E/JPkN1Pn/fge9D/Qv1W2u5A9zP9XmRVaQt6
1uicDe4Bfhx+EFQfwZ3M35L59zDmGci7IX8I2YPQBPgptH0L/x20Af1OzH8E
/DQ9P+TvIv8avBzqAq4Mvl7zM15XcBXwDeDPwetZ2/jEz/pYcBlkj4Lnwt9D
23D416BG8I2hbchrMca5rP8C8BJwZXCkZ89/J6BbCVoNvps5GiNbxxx94Zsj
r4p+d9oG6n1AXyNry+9twu+dRJ+XkQ2H/mT+VfSpjv5EdM7O+BkN1vNDvxL6
dyJfH/wO9e6mgt+Cn4DOEvBS6Bv4s2hjSZkzwGeBJzBetYzXoG95Y/Cz0zf9
FopvJ17rP6yhGrLxzPce871An/rof0v/7uh/CR3FeEenfha1kK+HPxudcvC1
aFsGPhPMv8xp4E/p24rxLmG8R2h7k7negJpp70Az9e3Envsext+NbAx9purd
IX8H/gR0+sE3R34T6+vOeG0ZLwc+X98uVBV8H3gC/SdCN6B/gDFmwn8A3Qwu
hTzHWLcz3wxkjcCXIPsUXBL+aegexl/BeKcX3NYM3AXcmvH302cTeBv6RzHe
B8jbw9eI/e18hHwU/f5KvDfqI18J7kD/FvTfxO9/Xe8G+TJkO9F/g/WMhT5H
fwe4AfKRyJtE/qbqws+jLUX/MagT8y9nvFMLbluArDttT8JvpM8C9Bcm/jZ1
zn2PrCO4VOQ9Xxr9ruCjwbO0J+C/SPyuGDIzH/4T6AQwy8lsQX8+Y0xE9xDa
7oN/gPn78HuOpG0reDs6xyCbDZ7Db/kI2gD+lwE+ZaxF0CmR98xi+CWJzwJ9
I/Pofzu4GHmOn3Te0DYZvoTOJ3BH8OPgX6F74e9j/h7Mfzi4J/hecFfwYeD3
0b+atj7wP+qMADeXDngt9CFrmx772+gHPhFcCfok629shc4uxmvOeMu0XnQf
oP+z6P4FLWWtXybeWzrTVugsQWc8/S/WeQc/BMHL8JvQ+Ry+HTqHRv5NPzBX
Llj3L9qGaf8w3wnMJ8P0sd43NF1nAbQq2ObI1ryv3wT/Dm0j4Q9AV4C/Ys1d
tTaoHH3LQqMzPrN/hL8FnUms7zLwMvgn6T8Ufhf0VfAz17N+FzwSfgRrWgD+
ijFW0v9GnTH0vwR5AVk78ExwY3Ab+vdk/R1ZfyKbiPwt1jMbeU/G2Ak+LNj2
yeDOou/N4Af1fKAx4NHoLEL3M2i0bEXis2Y7YywFD0D/BfAOaDWylrRNRHap
vnnwCOa7Av4O+ndCdhzjXZuzzd0Ink3/d8AJ8vXgaeCxsv+yGfRtx/qbsraF
LPE92Tb9Zn2f+mbQn4z+GK1fawzeE9oLk2grRd/DoK+YqzX4eb0f8DjGGyOb
ENsG6Ox/FOoZ2wbK9j2hDQFuynx76fsadFdsGyjb93Dkb/Pk1LZd32iAPwS6
W+cPuCrrqcx85Zmvos5snQ86TxnrVWgf/H6oHnxF+gxlrr6yMfA/0H8z+Geo
g94/+Bf4P6A75Z9kbev/hjpHtvnr4DclftaTwTvg9yQ+q6eAD2XsUqnf/Szw
B8HPXM96HGuYDt4ALsj2gB8Pfsd6ty9BB+Gv4/fU5re8o/MUXIHxv0e2kD6j
GHtk6m9TZ+R++UvoXAW+CZ2jwZchfw5Zwhh5xioTLFsBPQHfmPF25rwHpvP+
r0V/GPoNGGMa+Eb6nEff+uDzg30C+QLd1Afdl6DJGfsIsgWbg89S2YQt9F0D
fpG112asA9DVekbIX4HWof8e8jfgs+iv0dkBHqWzD9wS3R9oOzHnPX48c1WE
7tVZyJhXw5fUN8f6WuX8LGfQ/+2cn+kM5muBzmvwDVljKeS3MmYcWWcquq3B
UeQ98HDwGaezbYgwfCf6v6n3A/VHvoS2bcieg/4DnsD8U+QLs5492nvyCZE9
A/XT96xnFPmZtoVvD42Rb4L+PvTro79dewXao3fPmPPhy+sbBDcO9gV+AF8A
P4n5pjHfH/SvJ9sAngHepjMN/C54FngX+BFwA32zOZ8ZU/Q9BZ/16xnvftkD
1vNK5Gd0FrpTY9t22Yhdehbofwx/HPIHwC+g00Bnk36T/APa9iEfDg2C76fv
IbIPPDH4jNbZPBoaDP+YbE5kn/wl8HPgOfIXtGeCzxidLW/qzNf74fdczu/Z
zJryyK5l/v3IRkAlwa3AucjfUEX0j9Y3jv7R+mYZuzE0RL6q9qPOW/QP5vyN
NYcfTp/jcx5zFvxttIXIZ+Qj9B2Y2vdXTFQTeRvGb8TYP4NfRLcj8tflj4OP
095CXhf5cvAk8C3o/Jvzmflu8Devb/118Je8/+dT/3bZqB3IfkNnLrKytKWp
zzidbd3BPzHWSPpcmfMZ9S+6F9CnF33b6h0xdzloJfq36xuib+fYe0U24Er0
p6aOHU5ljVl0M0XHAjfqvGD8oxLHSopZHtLeCx5rLH3Kge9GXi7yGksiO5bx
+mot8pl1dif2fcsyRoXUPqt8Ve3ZO8AfgldkvQf+0vnNGE2RfyMfB/4Y2vrI
X9WY8AdTxy6KWcqy1mOLftZtwH8Gf6P6Nj8Cl9HZT9ut8Efw+65QbJo6Fjol
71iqdPBvVUw1Hllt+pyMrJfst7691L7wdOZoCF7Fenvm7KMOlT+DfF7kM+9F
xUKKkZHNlQ1Bd2xiX/5Q+dTIZqC/Bnwac9RkrouDY6PV0KXyJVPHKjvkn9K/
Izo3ortTz4/xezLe8ZH3YCN9i+gszfqb/jX4m9G3Mkf+D/Le4MXIW4IDYx0T
zKeMeQD5fvkX2f/HhIxdJXbsL5/0C8XXsX1l+bzPBftI8o2G6TxIbONk27og
36e9CNWOHPMcr28l9dlwuGI61npOatuuHMDHjNUu2Hf/OefYrlpqX0AxnmKz
M1PbesVofwefiToL5+n9MNcc+b/Mn9K2EFmP4FjlD32PqW2ubG2PyGfTy8Fn
hc4o+eY/Bcf+8tGfh2/CmLtz9lE/DvaR5BspJ/IheFPsucaD57C+zqltQWvW
NxZcIvVcTZC/CU5S79Wr5IMp9kvNy0ccjXxn4mfXgLYTkfcGV4h85rdVLJ3a
l1RMtj1xH+nK59gV7MPId/mEtt8Tx1iKreSj7EFeLfbea0jbSeCToVVZnxF7
4WvGjlW15wrgA4zRjb7boXXMHQX3XQ61A/ePbau0pwro5hPbHsXoAd0keK+U
z9jXejHYd5PPJVv5YLBtk80spn5melby2caB34htq7THrlT8FTuWUowxCb4h
/XvDr5IPCn8Qnbu0X7QHkU9njNWR91if2D6BfAH5oLPQnS2fH9kxtN3PfugX
HCv1ztuW1g32dWVTB4ELignp2x/8NPgQ8L3gp/OOtXax/mZZx1yK/f4BX591
DNgP3Cs49uoOHgDO0v9O2VPwQPBQ5MdpLeCx4JOQv67zEDwYnOqbAD8OfgIc
dOaCB+Qd695J//pZx7zLwGuDY6Nfka8EDwbfgbyKcl/gV8Hl5cvkHcv3BrfI
OqZXrLiDv1dlHTPKl7gwONaTT/EkeDS4Iv0fAz8Ffgt8gmw5+Hvwa+Be9D9T
47DWTfx9IOecw1vI99J2ofYG+q+Cf5GPCn4J/IrOJ+Sv6DwDDwVvQV5L/pXW
q1wXdFvkHM6f6C5UPi9nnZHKR6J/Hvyr6H+Q2seRb7NOPjd4dmq+AnOMUO4Q
+XD4YeifzaBbWG9/+UN6J+Dv0P8F/aryd8CrwL/pPJI9Bn8G/hn+K/Q/11kK
XZRzm2KdIbF9FcU83yNTYPx75DHkK9YOznXJZ3wdvB1cV/5I3rmms3XmZJ1z
Wkn/fxnv18hrGoO8IngU8uF550oV4yu2V850NfIx9O+L/Cx+1wbwYvAz4Brg
IegfSVsp+l6Jfumiz2yd1WqTbycbKtspH68D8x8FPjJvH6dS0TGTYqWytL2p
fKC+4bxzNqfp2yha1p7f9H5qn0O+xjfIJ6W2ybLFX4LrKFeV+N1Uoa2EYg1+
T8m8ffozEueAlfv9kfEqaL1F+zrH0HZt7Hemd6Vv5An4U5njfvhP5e+h+6zy
S1mPeQy4NLgnz/8ocB/FE/Ip8o4ByyArX/TY3+XsS1YI1pVPeTD838eEX4R8
E/JvdL4xfq2Cc9XXBP8W5azLM1512k7MO2abKtuOPCtbQtt08K3BsfXHefvu
8gnkC8iHnwN+TPMjXwyeqfw6+BDwAvBi8JfgquCNyieA+wbn9j4DL5WvJJsA
3gpeB/4EPJj1Vme901L7KPJNVsqHQv5M8Fm5TO8U/KmeP3gt+BS9a6gDuJye
J7/v5KL5lbSdoXctfzJnnUXwcxWTy9/JOzY/E1wh7xg9lzhmV6z+BTpV9C5o
G5KxzjzwSOnLPwTPB78JrgReqW8WfrdslmJb+TfyR6ES8J/mbBsUQyl2ko14
Ff7V1LHr79pDin1S8/OR3wTfEhoB34g1tIK/JTU/KvK7fC21rt5pD+UeoFvl
u9DWE75Xav422rrB3wWNi6xzI/wNqWNRzdEF/hHlSCLrKHf9duy9oRz25NQ+
oXzBZfKv+W1FaC/8Ap35yEvwvGoi/0dnjOIV+UiKLXVewI+L3fca6Hfk58SW
7YcO4fcUi17rocphptaRrLd+A3yb1GdFG3Ra67emfhaNwYfrLIR2gXtBD8rW
pfbNFYMod6achXIVyqHdA38lbTfn7KOqVjE+9tmgmsX54LrQ0/A1lKNHdo/s
e9Y+jGLpe2kbGjmmniLfiLbnI4/ZLHXOQrkK6TRMHQMq9pNOX/pekzo39XXW
sb1iHMU2ivHPA9fRM8p4DY/K9qc+y37MOla+T99Q5Jj5utQ5E+VK1NY1tY8o
31Dv9FzFF6lrXxrzouAcn3J7qiFcguxSUeSczUXwF0PPRn6n9eAvTP0s1PY6
/JjUuXPlCFU7kI8k30g1BNVmtqeOnVSjOVf2GvxF5Bhnb+ozUmdjAbxP64vN
x9AacJY1/on+H5FrTRNjnw2qOZ2Wuo90HwC/CP9C6lhYMdG+4D2pvbiQ33eK
vg2NmfeZ/HjiHKgCjov1PcPvSf0taQ8rF6CYSrGUcgJPp67xqbY3Gzwb2Tzt
Gfmi0DN6VvL3I58Z/VV7Sr326tD0xDUB1QJaQk8hey72WOrzbOyakmpJP+kM
SJ2DUu5pi+aHf5K2LVnb5A8T57SVy24NvZ26ZqFahZ7xoNQ1HtV2ZoCfSRyD
Kfa6HPxTap9ZvvJO8MPIN9K2LXIMtSW1jyvf9m/oEeSbU/N1oGGxc+TKjf/G
nA8mzqErd15D33DsmFax7G7lL+HT4LNhDzQA/a2p5z5f/nTROULlBoNqMqlj
AsUCWtMg5Y5oOwhfD9qROuZXrK+2p5EXiu77v28YeaIzRb6E7HHsmq1qtRtV
k01dY1Vt9V2dF+D+qWulUyLnjh6LLVMO6SHww6llstnKHT0Z+9kqh9Qx9jel
b0k5iCfhT0/9bSrGbR7bh5Pv1iZyrXlZcG5fNWfVIhYF565Vk1gYbPNk62Qj
vw22obKdsvFLg22ubK18qs7BNlm2WD55LraPL99eMcT5jH8eVA9+EHNcoFxx
MP8LVE+5YvATep8516ZWBtc2VKNSbeqo2LUk1agU+8qmypYqBlYu8/DYsaly
mm8E20jZRvmAZWL71PKl5WOrVrwuuFaqmrF86eZF1+rlU/8YHFMollDOtrP8
xdi1vdKRa1MfBcfGqlElsWMExQaKWeooNuT9Pqr9JBsL3wt557yfQSPkDaE2
yp0hfzTYx5Fvo7aD6M9FfmvkmEm54n8Lzt0rZ6xc6f6C+ypn2ifY55Gvo5hm
d8ExnmI7xWTKfT4UnMtVDvSa2Dla5WZVA71IuVfwU1or1DR2jlq5acWMyo0P
Cs7FK0deS/UB5APgN+d8Fl0hnz3vM+mGYB9Pvl01xYzBPpV8KcVkTeTL039g
zjWV1sE+oHy/OtqvyHqA24PPyzo38Wxw7kU5ip0Fx5iKLRWDKte8t+BctHLO
xdgxmmIzxawjgn0o+U6K0RRLfJV4Lyim2Jq45qFaR3vwbvmCsWudimkUu3yN
/PbIMYxqS1sS66rGNDY4ZlWsqphwVHDMqlhVMePq2GeqztKtsl/BMYpiE/l0
rwTH3Iq1FaPK9ixn/LaRbdDJsWNIxY5jWdTvwTGcYjfFfNuCYyLFQoqhGimW
TuzrHGD5U+GnQYNz9pl3BsfcirUVk07Wb9c3krNP3gRZs6LvtswAX62zJrHt
UIz8c3DMqlhVMWwcO8ZWbK0Y/bfENSPVijrKRwnOASj2V8yvXPCE4Fy4csI3
039N4lqkaniKVZqkPjsVs9wk2564tqeao3LXJWLnjpXDVq56ZnAtSTlr1TLe
D86dq6ahWloUOzevmppy5YfFrjUpZz4nsU2TLdOeuwHZt4lrm6rhLgiOGRQr
yId/OzgnolyIajI/BNd4VNtRjKFcunICygUop96K8dYy3uU511yXBMekikUV
U6wIjqEUOymGUW7718TPTjnuDYlrbKqttaNtuO7iJOY15rGxcwrKJSimvzs4
J6hcoPZ0E/DpspE518AboFtf5zO659DnFuSXFV17fRg6V78dXA3ZFnA1cF39
HsVOOd8NOj3YF9QdoW7gFsG1/TZ538XYyhqrZH0nQ3v5tmBfRXtadyc2FHzX
RncodDbeHlwr1hk5V7kE7Y+87ww0hG9U9FoV86gWOKzguwmqCW4ueA2aW3NW
K7oGrtq3auiXgi8u+rfpN+lu1tV6/nnf0WoMf1XRe1PP5Jqi94C+femo9lcu
2FdWDVC1jVkFxwKqcdTS82O+JTnnwFX7/q3gs0s1cN1lWlPwXtSdJt0tKp06
ttAdI90F0R0Q3f3QnZAWsX0a+TI6A66L7dPJl9MZpLsIqomrFq47CRcUfedF
d130jjrE9lnkq6iGoFgwLTq2UUzYK7ZPJl9MNVHdbVtbcK5ed9xU+x4Ru5am
Gnjr2D6YfC/lSFWL+qzgu0CqSenuWY1g31F30HS356xgX0d3fJTLvzzYF1NO
X7WjpQXXwlVDujW2TyZfTDlN3YV6JbZvpztRiuWOSB1bKaZT7CefTr6cYsAo
cQ1StUe9A90VUo5KuSndGTokcQ1ZteOvc7Y9stGyzbJBdwX7IPI9dGfmr4Jt
omyhzsxuwXdOdNdEPkrNxHeOdNdoI3S9/B/kG3LOoZ2T2AbK9qntp4Jtpmyl
ztiWyGok7qs7D7UT20DZvq3gtsE1AtUG5EMol6gcnXJzyilWTnwnUXcRtadP
TXxnTnfl1mh/K7eUmFfOuEOwzyVfS3dmdBetSuJcku6k1Qm+c6a7Zroz8r9c
VuLajHJa2os6A7T3tScvLPoOje7O6I5VK/kvsdcun+Dyos8QnR3yCT4vOEei
3IhiCN0FKSZ+F7oToruKhybOtevO4mn0vyh2LkR3HFX7OSF27UM1INV+Siau
lakGdGbRdxJ1F1F34lRbK5W4tq8a25GJa5KqRX5L28fIj0jMK6auFDsHqdyj
ctCqRZwSu7agmoRqfeVj19ZU81Msd27s2E4xnXz9OrFzLfL5dbeybOxalO5Y
KjdQPXauQjkC5RLrxs6dKaeYTXzndGDGOaPjY+d0lctVjlN3L5WTUy5OdzCV
q9OdSt2lVM7uqeCct3LdypEdEdtnla+qO0P/BUQEsxQ=
         "]]}]}, {}, {}, {}, {}}, 
    {GrayLevel[0], Opacity[0.4], LineBox[CompressedData["
1:eJwl2HccluMbBfC3oWUViaxKURFJREhRlCYZJRqKMlJEVinZo0VIitJSEmkp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      "]]}}],
  AspectRatio->1,
  Axes->True,
  AxesLabel->{
    FormBox["x", TraditionalForm], 
    FormBox["z", TraditionalForm]},
  Frame->True,
  Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True},
  PlotRange->{{-5, 10}, {-4, 4}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{{3.531227158563123*^9, 3.531227200884882*^9}, {
   3.531228334748623*^9, 3.531228363848829*^9}, 3.531230510967581*^9, 
   3.531230801596669*^9, 3.531232244562623*^9, 3.531308155130557*^9, {
   3.531431887163767*^9, 3.531431915851637*^9}},
 ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"RegionPlot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{"2", "+", "x"}], ")"}], "-", "z"}], "\[GreaterEqual]", "5"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "1"}], ",", "4"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"z", ",", 
     RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", "Automatic"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.531154506404917*^9, 3.531154530153513*^9}, {
   3.531154603929762*^9, 3.531154610957742*^9}, {3.531157163483918*^9, 
   3.531157188988861*^9}, {3.531157356376685*^9, 3.53115737473426*^9}, 
   3.531222359230536*^9, {3.531226369996155*^9, 3.531226371209947*^9}, {
   3.531226410435722*^9, 3.531226410552494*^9}}],

Cell[BoxData[
 GraphicsBox[GraphicsComplexBox[CompressedData["
1:eJxll39c09UaxzcYA8YGYog4rRSJVoiil2n+PCenFyHFCUWl3oGKZa40sy4O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   "], {{
     {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], 
      EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNl3ds1lUUhu9VBBlFagVZQkFAigVpFUqlhSJTUIFWBGcFB+Kqe++Fe+DC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         "]], PolygonBox[CompressedData["
1:eJwtlPmLiFEUhu+xxNj3XQzZsm9jXwcxg1A0hBhLyIx9FxGRfQzG1tSkJiX+
DfteKKNQDFmyRJYsz9s5Pzyd927fvfec936Z+atmFFZJKeVCNahuKY2Cs+it
8ABew2I4BB9hKOMbiSugPvox8QjsgTrmazR3F2TQrg070duTz30Hy2LNZ5jM
+EXiPGiMbgT70PvhO0ylfZm4ECagx0M+ege8hO601yTv64zuCkXoBZCNrgHb
0OehPboDHEXPhYQeDCXITdAU/YJ4HA5ATfMzaG994wm0o285cQ60RT8i5sWd
fkNf+k4Q18M/uAVZyXPWj7E+sDT5nKrmOdDdN8Mw8zPpLKdhOLqK+dgZaGZ+
Rp3tIHREP427rIRptHvAIvQVGGteU9XynGqMvkvMgS3wC65DC1gHAxn/Q9wA
p+AV9DSvnb7ZDf08crsa/sJ7mB1rBpjnQHc/CUNoDzL3SknMzaF9Idb8hEqY
CWthNGMjoTC5B+WdWua1loc6oUeY56IAWpvvqb0OhxfGmddanuhingPdvSj2
vql5yc+gXEyh71LkRF68I98k92Qu7Q9R63J4C/3Nc6UaTkRfI2ZAKdyD5ua1
mQ6T0G+Is6AMHkJL+pZE31cYY14L3fk2NDH3fnbM7Q3FydfIm98i9/Joprln
5BV5ugI+hReOwVWox/juOGMD8zert7o3vJxlXuvl4VXduTw8Wxl3LI0atUK3
Mc91XuTuC3F+8hz2ov0jalkc3lIOysJjN6Ch+d6qgd56RZxVb/5Z1LggvlnX
/J+if4nuoH/B/cit/gn/ARzZiQs=
         "]]}]}, {}, {}, {}, {}}, 
    {GrayLevel[0], Opacity[0.4], LineBox[CompressedData["
1:eJwt0mlbzFEYwOGZlKGoCJOiRaKyq8janooYwycor/kEvpIXPoR9Ldn37CEV
ZclyP1de3NfvPOeauf7/OXOqB89kTycTicQ5zhPrU1zgkOGNDrPEeimFXDTP
cole81v9wXe2mrexmhFzqd7Rd/RZX9afjNJofq/bdSc7+GVu0nLWUMZde2v1
gx7Xcb1HkXUxy7hinuMq/eaP+offNJt3Ucl9c4U+0E8ctr6mf3nIXvNn3a17
aEnOH8o+qllHFY9s1+iEZvWLPma5dQkruB5f1Rt6RCd1geawnwPU8sT+en2q
UwxY39RcfabtOq0HtY1W8uhgI3Vs4LnP1OtXPaHf9AUrrVeR5pZ5od7Wozqj
izRFJ11s4qX9Bh3Tbu0hnwIW88r+Fn2tmzXDseT8PRriJGfjPeJ8yMTz4hzi
HtBDR/ymOPP4j+IexDPjLOI/Ik1xvB+peG/y4lziHMn5f2f/AaPCS0M=
      "]]}}],
  AspectRatio->1,
  Axes->True,
  AxesLabel->{
    FormBox["x", TraditionalForm], 
    FormBox["z", TraditionalForm]},
  Frame->True,
  Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True},
  PlotRange->{{-1, 4}, {-1, 1}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.531154618642499*^9, {3.531157165484045*^9, 3.53115718960388*^9}, {
   3.531157357328165*^9, 3.531157375675561*^9}, 3.531222360722706*^9, 
   3.531226372032003*^9, 3.53122641109908*^9},
 ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"]]
}, Open  ]]
},
WindowSize->{1255, 724},
WindowMargins->{{0, Automatic}, {Automatic, 0}},
FrontEndVersion->"8.0 for Linux x86 (32-bit) (November 7, 2010)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[557, 20, 146, 3, 30, "Input"],
Cell[706, 25, 617, 15, 30, "Input"],
Cell[CellGroupData[{
Cell[1348, 44, 764, 19, 30, "Input"],
Cell[2115, 65, 10998, 191, 365, 7724, 136, "CachedBoxData", "BoxData", \
"Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[13150, 261, 304, 9, 30, "Input"],
Cell[13457, 272, 151, 4, 30, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[13645, 281, 488, 15, 69, "Input"],
Cell[14136, 298, 316, 9, 30, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[14489, 312, 472, 15, 30, "Input"],
Cell[14964, 329, 175, 4, 30, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[15176, 338, 1398, 32, 30, "Input"],
Cell[16577, 372, 77499, 1282, 370, 67756, 1121, "CachedBoxData", "BoxData", \
"Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[94113, 1659, 765, 19, 30, "Input"],
Cell[94881, 1680, 14538, 251, 361, 8215, 145, "CachedBoxData", "BoxData", \
"Output"]
}, Open  ]]
}
]
*)

(* End of internal cache information *)
